Evidence map›Paper›PMID 37217292›Full record

ArticleThe British journal of ophthalmology2024

Determinants of non-attendance at face-to-face and telemedicine ophthalmic consultations.

Siegfried K Wagner, Laxmi Raja, Mario Cortina-Borja, Josef Huemer, Robbert Struyven, Pearse A Keane, Konstantinos Balaskas, Dawn A Sim, Peter B M Thomas, Jugnoo S Rahi and 2 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The British journal of ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06528509 (An Artificial-intelligence-powered Intervention to Aid the Informed Consent Process for Cataract Surgery for English Speaking and Bengali Speaking Patient Population Groups), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06528509 nanot yet recruitingnot on this map

An Artificial-intelligence-powered Intervention to Aid the Informed Consent Process for Cataract Surgery for English Speaking and Bengali Speaking Patient Population Groups: A Mixed-methods Randomised Control Trial

TypeinterventionalSponsorMoorfields Eye Hospital NHS Foundation TrustRan2024 to 2026Enrolled200ConditionsCataractArmsAI-Generated Informative Videos, Standard Written Information Brochures
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  4. Telemedicine in ophthalmology.Wiener medizinische Wochenschrift (1946) · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Siegfried K WagnerInstitute of Ophthalmology, University College London, London, UK.ORCID 0000-0003-4915-4353
Laxmi RajaDigital Clinical Laboratory, Moorfields Eye Hospital NHS Foundation Trust, London, UK.ORCID 0000-0002-1668-6815
Mario Cortina-BorjaGreat Ormond Street Institute of Child Health, University College London, London, UK.
Josef HuemerDepartment of Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UK.ORCID 0000-0001-5238-8295
Robbert StruyvenInstitute of Ophthalmology, University College London, London, UK.
Pearse A KeaneInstitute of Ophthalmology, University College London, London, UK.
Konstantinos BalaskasInstitute of Ophthalmology, University College London, London, UK.
Dawn A SimInstitute of Ophthalmology, University College London, London, UK.ORCID 0000-0002-6363-7805
Peter B M ThomasInstitute of Ophthalmology, University College London, London, UK.
Jugnoo S RahiInstitute of Ophthalmology, University College London, London, UK.ORCID 0000-0002-5718-9209
Ameenat Lola SoleboInstitute of Ophthalmology, University College London, London, UK.ORCID 0000-0002-8933-5864
Swan KangInstitute of Ophthalmology, University College London, London, UK swan.kang1@nhs.net.ORCID 0000-0002-1303-9188

Funding

Medical Research Council MR/T000953/1Medical Research Council MR/T019050/1
6 · The paper itself

Abstract

BACKGROUND/

aimsEvaluation of telemedicine care models has highlighted its potential for exacerbating healthcare inequalities. This study seeks to identify and characterise factors associated with non-attendance across face-to-face and telemedicine outpatient appointments.

methodsA retrospective cohort study at a tertiary-level ophthalmic institution in the UK, between 1 January 2019 and 31 October 2021. Logistic regression modelled non-attendance against sociodemographic, clinical and operational exposure variables for all new patient registrations across five delivery modes: asynchronous, synchronous telephone, synchronous audiovisual and face to face prior to the pandemic and face to face during the pandemic.

resultsA total of 85 924 patients (median age 55 years, 54.4% female) were newly registered. Non-attendance differed significantly by delivery mode: (9.0% face to face prepandemic, 10.5% face to face during the pandemic, 11.7% asynchronous and 7.8%, synchronous during pandemic). Male sex, greater levels of deprivation, a previously cancelled appointment and not self-reporting ethnicity were strongly associated with non-attendance across all delivery modes. Individuals identifying as black ethnicity had worse attendance in synchronous audiovisual clinics (adjusted OR 4.24, 95% CI 1.59 to 11.28) but not asynchronous. Those not self-reporting their ethnicity were from more deprived backgrounds, had worse broadband access and had significantly higher non-attendance across all modes (all p<0.001).

conclusionPersistent non-attendance among underserved populations attending telemedicine appointments highlights the challenge digital transformation faces for reducing healthcare inequalities. Implementation of new programmes should be accompanied by investigation into the differential health outcomes of vulnerable populations.

Indexed as

TelemedicineAppointments and SchedulesFemaleHumansMaleMiddle AgedReferral and ConsultationRetrospective StudiesSurveys and QuestionnairesCovid-19Public healthTelemedicine

Identifiers

PMID37217292
PMCPMC10958256

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.